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A Synthesis of Green Architectural Tactics for ML-Enabled Systems
The rapid adoption of artificial intelligence (AI) and machine learning (ML) has generated growing interest in understanding their environmental impact and the challenges associated with designing environmentally friendly ML-enabled systems.
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners
Incorporating machine learning (ML) components into software products raises new software-engineering challenges and exacerbates existing challenges.
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
The introduction of machine learning (ML) components in software projects has created the need for software engineers to collaborate with data scientists and other specialists.
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